If I am to do a lot of pre-processing operations on some data, comprising many steps such as:
-- despike a set of signals -- smooth a set of signals -- filter -- subset -- impute missing values etc... Should I be assigning the result of each operation to a new object, and then destroying the old one, or is it fine to reassign the object to itself? df <- sapply(df, someFunction, arg=10) OR df.new <- sapply(df, someFunction, arg=10) Ben University of Melbourne ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
